Paper Citation Record · LEDGER

Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches

As of 10 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.18882.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.18882 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T14:06:10.400528Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

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External citation measurements

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Outbound references

Observation 80d81ad8-e555-450d-a09e-bee593eabc1f · outbound

This paper cites Explainable artificial intelligence (XAI) in deep learning- based medical image analysis,.

Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches Explainable artificial intelligence (XAI) in deep learning- based medical image analysis,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T14:06:07.755755Z

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Observation 81c7fa4a-6eb6-4e6a-8d94-2b9cb139bdf1 · outbound

This paper cites Theoretical behavior of XAI methods in the presence of suppressor variables,.

Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches Theoretical behavior of XAI methods in the presence of suppressor variables,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T14:06:07.865142Z

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Observation a5b67ce1-d3be-4e5d-a475-0467b67e20a2 · outbound

This paper cites Feature salience - not task-informativeness - drives machine learning model explanations,.

Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches Feature salience - not task-informativeness - drives machine learning model explanations,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T14:06:07.981323Z

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Observation 61427ebb-a011-404d-bd47-f46fd1e72b13 · outbound

This paper cites Scrutinizing XAI using linear ground-truth data with suppressor variables,.

Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches Scrutinizing XAI using linear ground-truth data with suppressor variables,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T14:06:08.057220Z

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Observation 8b614d9b-0d6b-4758-b467-4f5875a0205e · outbound

This paper cites XAI-TRIS: Non-linear image benchmarks to quantify false positive post-hoc attribution of feature importance,.

Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches XAI-TRIS: Non-linear image benchmarks to quantify false positive post-hoc attribution of feature importance,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T14:06:08.112633Z

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Observation c8a4cf04-3dff-4bd0-91b4-886d0d2bb6be · outbound

This paper cites Position: XAI needs formal notions of explanation correctness,.

Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches Position: XAI needs formal notions of explanation correctness,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T14:06:08.186861Z

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Observation d2e27ad2-b76c-4917-98b2-83e81b146fc8 · outbound

This paper cites Benchmarking the influence of pre-training on explanation performance in MR image classification,.

Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches Benchmarking the influence of pre-training on explanation performance in MR image classification,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T14:06:08.243690Z

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Observation ba351a6b-bce9-4fc6-a2b6-3abd6cac51c5 · outbound

This paper cites FunnyNodules: A Cus- tomizable Medical Dataset Tailored for Evaluating Explainable AI.

Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches FunnyNodules: A Cus- tomizable Medical Dataset Tailored for Evaluating Explainable AI

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T14:06:08.346279Z

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Observation 46d91dad-06d6-4d51-9c8f-f414c47199d2 · outbound

This paper cites The Brain Tumor Segmentation (BraTS) Challenge: Local Synthesis of Healthy Brain Tissue via Inpainting.

Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches The Brain Tumor Segmentation (BraTS) Challenge: Local Synthesis of Healthy Brain Tissue via Inpainting

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T14:06:08.385771Z

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Observation 106cb2ef-4f3d-43e2-8626-e5def07ff6c2 · outbound

This paper cites Fastsurfer- lit: Lesion inpainting tool for whole-brain mri segmentation with tumors, cavities, and abnormalities,.

Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches Fastsurfer- lit: Lesion inpainting tool for whole-brain mri segmentation with tumors, cavities, and abnormalities,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T14:06:08.482155Z

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Observation 96eabb8f-8c98-4f1f-8063-30d68fbbe7d3 · outbound

This paper cites Lesion region inpainting: an approach for pseudo-healthy image synthesis in intracra- nial infection imaging,.

Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches Lesion region inpainting: an approach for pseudo-healthy image synthesis in intracra- nial infection imaging,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T14:06:08.554926Z

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Observation c6a08293-7a87-425b-96cb-3b1295abf193 · outbound

This paper cites Denoising diffusion models for inpainting of healthy brain tissue,.

Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches Denoising diffusion models for inpainting of healthy brain tissue,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T14:06:08.643371Z

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Observation a2cacbd9-850d-47eb-8deb-3c5c14bd802c · outbound

This paper cites Medical image synthesis for data augmentation and anonymization using generative adversarial networks,.

Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches Medical image synthesis for data augmentation and anonymization using generative adversarial networks,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T14:06:08.712802Z

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Observation 64e9df32-8efe-4249-a00c-c887123f4911 · outbound

This paper cites Synthesis of brain tumor multicontrast mr images for improved data augmentation,.

Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches Synthesis of brain tumor multicontrast mr images for improved data augmentation,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T14:06:08.766893Z

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Observation ed98ff4e-018c-4b2c-b050-618e7299ec36 · outbound

This paper cites Multitask Brain Tumor Inpainting with Diffusion Models: A Methodological Report.

Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches Multitask Brain Tumor Inpainting with Diffusion Models: A Methodological Report

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T14:06:08.900192Z

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Observation 590c628b-052d-4a3e-9714-b3fabcd21ae9 · outbound

This paper cites Lefusion: Controllable pathology synthesis via lesion-focused diffusion models,.

Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches Lefusion: Controllable pathology synthesis via lesion-focused diffusion models,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T14:06:09.011134Z

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Observation 036d6a37-c3f3-4056-b2a8-ddfa572448a3 · outbound

This paper cites Explaining Classifiers with Causal Concept Effect (CaCE).

Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches Explaining Classifiers with Causal Concept Effect (CaCE)

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T14:06:09.119129Z

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Observation 34cfc731-af77-4fc2-985a-b32a6ea8258b · outbound

This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T14:06:09.254287Z

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Observation bcb7d4e4-b086-4abb-a7dc-77cf9dfb0c4e · outbound

This paper cites High- resolution image synthesis with latent diffusion models,.

Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches High- resolution image synthesis with latent diffusion models,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T14:06:09.360569Z

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Observation d28c4081-5242-4250-82e0-210931b008d9 · outbound

This paper cites Adding conditional control to text-to-image diffusion models,.

Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches Adding conditional control to text-to-image diffusion models,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T14:06:09.474032Z

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Observation 48ed98db-cd3b-4e31-8f46-92af518b1cbe · outbound

This paper cites RoentGen: Vision-Language Foundation Model for Chest X-ray Generation.

Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches RoentGen: Vision-Language Foundation Model for Chest X-ray Generation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T14:06:09.557339Z

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Observation c5798f10-444c-4841-992f-ef6e57bfba33 · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models,.

Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches Repaint: Inpainting using denoising diffusion probabilistic models,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T14:06:09.752881Z

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Observation 4849256c-13f0-4468-bac8-12c158b91ccd · outbound

This paper cites The WU-Minn human connectome project: an overview,.

Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches The WU-Minn human connectome project: an overview,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T14:06:09.862648Z

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Observation 976c9bc0-d402-43ab-af0b-a84ff3531b2c · outbound

This paper cites Improved techniques for training gans,.

Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches Improved techniques for training gans,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T14:06:09.935453Z

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Observation 2882c72c-9922-4023-aeca-c03403574138 · outbound

This paper cites Generative adversarial nets,.

Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches Generative adversarial nets,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T14:06:10.070238Z

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Observation 2d92440b-fd8e-474b-9c39-cb47c5914910 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium,.

Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches Gans trained by a two time-scale update rule converge to a local nash equilibrium,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T14:06:10.141558Z

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Observation 10fb876c-5c47-49dc-85c9-66b93e57fca4 · outbound

This paper cites Training generative adversarial networks with limited data,.

Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches Training generative adversarial networks with limited data,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T14:06:10.252518Z

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Observation 38758c2e-5458-4583-8be3-837344a1a033 · outbound

This paper cites On leveraging pretrained GANs for generation with limited data,.

Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches On leveraging pretrained GANs for generation with limited data,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T14:06:10.400528Z

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Pith citing papers

No inbound Pith citation observations are available.